In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

Emerging industrial Internet-of-Things (IoT) applications demand diverse and critical Quality of Service (QoS). Deep reinforcement learning (DRL)-based routing approaches offer promise but struggle ...

Ready to decode generative AI vs machine learning? Discover their differences and choose the best for your needs.

Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation ...